Frost growth on cold surfaces is a transient process with coupled heat and mass transfer. Due to multiple factors such as humidity, temperature, flow velocity and constantly changing thermal properties as frost grows, precise prediction can be challenging. Especially when the geometry of the frosting surfaces gets complicated, it requires a balance of computing accuracy and efficiency. In this work, a numerical model is developed to predict frost growth considering the effect of the above parameters. Mixture model is adapted to improve the computational efficiency and the unstructured grids add the flexibility to extend the model to complex geometries. The predicted frost growth rate matches well with the experimental data reported in the literature under similar conditions. The model predicts reasonable growth trend of frost as the surface temperature, air temperature, humidity and flow velocity vary. The surface wettability effect is well captured at the early stage of frosting and it shows a higher frost growth rate on surfaces with a higher wettability.

中文翻译：

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混合模型在不同润湿性表面霜冻生长的数值模拟

寒冷表面上的霜冻增长是传热与传质耦合的过渡过程。由于多种因素（例如湿度，温度，流速以及随着霜冻的生长而不断变化的热特性），精确的预测可能会具有挑战性。特别是当结霜表面的几何形状变得复杂时，它需要在计算精度和效率之间取得平衡。在这项工作中，考虑到上述参数的影响，开发了一个数值模型来预测霜冻的生长。混合模型适用于提高计算效率，并且非结构化网格增加了将模型扩展到复杂几何形状的灵活性。在相似条件下，预计的霜冻生长速率与文献中报道的实验数据非常吻合。该模型可预测随着表面温度，空气温度，湿度和流速的变化霜的合理生长趋势。在结霜的早期阶段就很好地捕获了表面润湿性效果，并且在具有较高润湿性的表面上显示出较高的霜生长速率。